Predicting low density polyethylene-air partition coefficients using theoretical linear solvation energy relationships
Predicting low density polyethylene-air partition coefficients using theoretical linear solvation energy relationships
复制标题
使用理论线性溶剂化能关系预测低密度聚乙烯-空气分配系数
DOI:
10.2166/aqua.2018.052
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发表时间:
2018-08
影响因子:
4.3
通讯作者:
Rajendra Prasad Singh
中科院分区:
文献类型:
--
作者:
Tengyi Zhu;Mao Li;Jing Wu;Yajun Wang;Rajendra Prasad Singh
Passive air samplers have proven to be a widely used technique in measuring hydrophobic organic compounds (HOCs) in the atmosphere. Chemical partition coefficients between the sorbentmaterial and air (K PE-a ) are significant for calculating chemical concentrations from passive sampling devices. We have established a theoretical linear solvation energy relationship (TLSER) model for predicting K PE-a values by molecular descriptor. With the TLSER model, McGowan volume (V ), chemical hardness (η) and dipole moment (DM) were screened as themost relevant variables. Themodel had a high correlation coefficient (R), leave-one-out cross-validation coefficient (QLOO) and bootstrapping coefficient (Q 2 BOOT). To our knowledge, this is the first attempt to predict the LDPE-air partition coefficient using the TLSER model. Statistical parameters, determination coefficient (R) and cross-validation coefficients (Q) ranged from 0.896 to 0.931 and 0.883 to 0.909, respectively, which indicated that the TLSER model appropriately fitted the results, and also showed robustness and predictive capacity. Mechanism interpretation suggested that the factors governing the partition process for LDPE and air were the McGowan volume andmolecular orbital energies. The results of this study provide a good tool for predicting log K PE-a values of HOCs, within the applicability domains to reduce cost and time for innovation. doi: 10.2166/aqua.2018.052 s://iwaponline.com/aqua/article-pdf/67/8/715/518923/jws0670715.pdf Tengyi Zhu (corresponding author) Mao Li Jing Wu School of Environmental Science and Engineering, Yangzhou University, Yangzhou, China E-mail: tyzhu@yzu.edu.cn Yajun Wang Rajendra Prasad Singh School of Civil Engineering, Southeast University, Nanjing, China
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DOI:
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发表时间:
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期刊:
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影响因子:
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